Fundamenta Informaticae - Volume 162, issue 4

Purchase individual online access for 1 year to this journal.

Price: EUR 410.00

ISSN 0169-2968 (P)
ISSN 1875-8681 (E)

Impact Factor 2018: 0.725

Fundamenta Informaticae is an international journal publishing original research results in all areas of mathematical foundations of computer science and their applications. Papers are encouraged which contain:

1. solutions, by mathematical methods, of problems emerging in computer science2. solutions of mathematical problems inspired by computer science3. application studies that follow the situations in 1 and 2.

Abstract: Current Research Information Systems (CRISs) offer great opportunities for assessments of institutional research outputs and extraction of useful and actionable knowledge based on various data-analysis techniques. However, many of these opportunities have not been explored in depth, especially in culture-sensitive areas such as gender-based analysis of research productivity and collaboration. In this paper we present GERBER, a network-based methodology and accompanying tool for gender-based analysis of publication data stored in institutional CRISs. GERBER relies on statistically robust techniques applied on weighted co-authorship networks whose nodes are enriched with different types of researcher evaluation metrics. The functionality of GERBER is demonstrated…on publication data stored in the institutional CRIS of the Faculty of Sciences, University of Novi Sad, Serbia. The obtained results show that GERBER enables institutional research managers and policy makers to detect gender inequalities and homophily in research productivity and collaboration. Finally, we discuss different possibilities to integrate GERBER with CRISs in order to facilitate continuous gender-based evaluation of researchers.
Show more

Abstract: In conjunction with the rapid growth and adoption of social media, people are more and more willing to share their personal experiences and opinions about products and/or services with the community. Opinions could be the basis of developing systems that would advise future users on how to proceed with any purchase without risking any disappointment. Unfortunately, opinions are not always genuine due to for instance, biased users as well as mixed feedback coming from the same users (i.e., multi-identity). This paper presents an approach for opinion analysis using credibility as a decisive criterion for supporting future users make sound decisions.…The effectiveness of this approach has been tested using opinions posted on Twitter .
Show more

Abstract: Mashup user interfaces provides their functionality through the combination of different services. The integration of such services can be solved by using reusable and third-party components. Furthermore, these interfaces must be adapted to user preferences, context changes, user interactions and component availability. Model transformation is a useful mechanism to address this adaptation but normally these operations only focus on the functional requirements. In this sense, quality attributes should be included in the adaptation process to obtain the best adapted mashup user interface. This paper proposes a generic quality-aware transformation process to support the adaptation of software architectures. The transformation process…has been applied in ENIA, a geographic information system, by constructing a specific quality model for the adaptation of mashup user interfaces. This model is taken into account for evaluating the different transformation alternatives and choosing the one that maximizes the quality assessments. The approach has been validated by a set of adaptation scenarios that are intended to maximize different quality factors and therefore apply distinct combinations of metrics.
Show more

Abstract: Classically, Data Warehouses (DWs) supports business analyses on data coming from the inside of an organization. Nevertheless, Lined Open Data (LOD) might sensibly complete these business analyses by providing complementary perspectives during a decision-making process. In this paper, we propose a conceptual modeling solution, named Unified Cube , which blends together multidimensional data from DWs and LOD datasets without materializing them in a stationary repository. We complete the conceptual modeling with an implementation framework which manages the relations between a Unified Cube and multiple data sources at both schema and instance levels. We also propose an analysis processing…process which queries different sources in a transparent way to decision-makers. The practical value of our proposal is illustrated through real-world data and benchmarks.
Show more